| Abstract: | A great number of spectral vegetation indices (VIs) have been developed to estimate biophysical parameters of vegetation. Traditional techniques for evaluating the performance of VIs are regression-based statistics, such as the coefficient of determination and root mean square error. These statistics, however, are not capable of quantifying the detailed relationship between VIs and biophysical parameters because the sensitivity of a VI is usually a function of the biophysical parameter instead of a constant. To better quantify this relationship, we developed a "sensitivity function" for measuring the sensitivity of a VI to biophysical parameters. The sensitivity function is defined as the first derivative of the regression function, divided by the standard error of the dependent variable prediction. The function elucidates the change in sensitivity over the range of the biophysical parameter. The Student‘s t- or z-statistic can be used to test the significance of VI sensitivity. Additionally, we developed a "relative sensitivity function" that compares the sensitivities of two VIs when the biophysical parameters are unavailable. ?? 2006 Elsevier Inc. All rights reserved. |
| Genre: | Article |
| ProdID: | 70033110 |
| Citation Author: | Ji, L.; Peters, A. J. |
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| Citation End Page: | 65 |
| Citation Issue: | 1 |
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| Citation Language: | English |
| Citation Larger Work Title: | Remote Sensing of Environment |
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| Citation Number Of Pages: | 7 |
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| Citation Search Results Text: | Performance evaluation of spectral vegetation indices using a statistical sensitivity function; 2007; Article; Journal; Remote Sensing of Environment; Ji, L.; Peters, A. J. |
| Citation Start Page: | 59 |
| Citation Volume: | 106 |
| Citation Year: | 2007 |
| Type: | citation/reference |
| Text: | Performance evaluation of spectral vegetation indices using a statistical sensitivity function; 2007; Article; Journal; Remote Sensing of Environment; Ji, L.; Peters, A. J. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1016/j.rse.2006.07.010 |
| Date Other: | Mon, 1 Jan 2007 00:00 -0600 |
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